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Journal Articles
- 2023
[j9]Cecilia Ostertag, Muriel Visani
, Thierry Urruty, Marie Beurton-Aimar:
Long-term cognitive decline prediction based on multi-modal data using Multimodal3DSiameseNet: transfer learning from Alzheimer's disease to Parkinson's disease. Int. J. Comput. Assist. Radiol. Surg. 18(5): 809-818 (2023)- 2022
- [j8]Myriam Lopez, Marie Beurton-Aimar, Gayo Diallo, Sofian Maabout:
A simple yet effective approach for log based critical errors prediction. Comput. Ind. 137: 103605 (2022) - 2021
- [j7]Romain Thevenoux, Van Linh Le, Heloïse Villessèche, Alain Buisson, Marie Beurton-Aimar, Eric Grenier, Laurent Folcher, Nicolas Parisey:
Image based species identification of Globodera quarantine nematodes using computer vision and deep learning. Comput. Electron. Agric. 186: 106058 (2021) - [j6]Antoine Pirrone, Marie Beurton-Aimar, Nicholas Journet:
Self-supervised deep metric learning for ancient papyrus fragments retrieval. Int. J. Document Anal. Recognit. 24(3): 219-234 (2021) - 2020
- [j5]Van Linh Le, Marie Beurton-Aimar, Akka Zemmari, Alexia Marie, Nicolas Parisey:
Automated landmarking for insects morphometric analysis using deep neural networks. Ecol. Informatics 60: 101175 (2020) - [j4]Cecilia Ostertag, Marie Beurton-Aimar:
Matching ostraca fragments using a siamese neural network. Pattern Recognit. Lett. 131: 336-340 (2020) - 2011
- [j3]Sabine Pérès, François Vallée, Marie Beurton-Aimar, Jean-Pierre Mazat:
ACoM: A classification method for elementary flux modes based on motif finding. Biosyst. 103(3): 410-419 (2011) - [j2]Marie Beurton-Aimar, Bertrand Beauvoit, Antoine Monier, François Vallée, Martine Dieuaide-Noubhani, Sophie Colombié:
Comparison between elementary flux modes analysis and 13C-metabolic fluxes measured in bacterial and plant cells. BMC Syst. Biol. 5: 95 (2011) - 2007
- [j1]Sabine Pérès, Marie Beurton-Aimar, Jean-Pierre Mazat:
Classification des modes élémentaires. Tech. Sci. Informatiques 26(1-2): 197-216 (2007)
Conference and Workshop Papers
- 2024
- [c22]Manh-Tu Vu, Marie Beurton-Aimar:
ViT-ED: Transformer Network for Image Similarity Measurement. ICDAR (4) 2024: 306-323 - [c21]Idriss Dulau, Benoit Recur, Catherine Helmer, Cécile Delcourt, Marie Beurton-Aimar:
VNR-AV: Structural Post-processing for Retinal Arteries and Veins Segmentation. OMIA@MICCAI 2024: 22-31 - 2023
- [c20]Kévin Réby, Idriss Dulau, Guillaume Dubrasquet, Marie Beurton-Aimar:
Graph Transformer for Physical Rehabilitation Evaluation. FG 2023: 1-8 - [c19]Manh-Tu Vu, Marie Beurton-Aimar:
Learning to focus on region-of-interests for pain intensity estimation. FG 2023: 1-6 - [c18]Idriss Dulau, Catherine Helmer, Cécile Delcourt, Marie Beurton-Aimar:
Ensuring a connected structure for Retinal Vessels Deep-Learning Segmentation. ICCV (Workshops) 2023: 2356-2365 - [c17]Manh-Tu Vu, Marie Beurton-Aimar:
PapyTwin net: a Twin network for Greek letters detection on ancient Papyri. HIP@ICDAR 2023: 43-48 - [c16]Isabelle Marthot-Santaniello, Manh-Tu Vu, Olga Serbaeva, Marie Beurton-Aimar:
Stylistic Similarities in Greek Papyri Based on Letter Shapes: A Deep Learning Approach. ICDAR Workshops (1) 2023: 307-323 - 2021
- [c15]Myriam Lopez, Marie Beurton-Aimar, Gayo Diallo, Sofian Maabout:
Approche de traitement des logs pour la prédiction d'erreurs critiques. EGC 2021: 301-308 - [c14]Manh-Tu Vu, Marie Beurton-Aimar, Serge Marchand:
Multitask Multi-database Emotion Recognition. ICCVW 2021: 3630-3637 - [c13]Manh-Tu Vu, Van Linh Le, Marie Beurton-Aimar:
IHR-NomDB: The Old Degraded Vietnamese Handwritten Script Archive Database. ICDAR (3) 2021: 85-99 - [c12]Myriam Lopez, Marie Beurton-Aimar, Gayo Diallo, Sofian Maabout:
Log Data Preparation for Predicting Critical Errors Occurrences. WorldCIST (2) 2021: 224-233 - 2020
- [c11]Cecilia Ostertag, Marie Beurton-Aimar:
Using Graph Neural Networks to Reconstruct Ancient Documents. ICPR Workshops (7) 2020: 39-53 - [c10]Cecilia Ostertag, Marie Beurton-Aimar, Muriel Visani, Thierry Urruty, Karell Bertet:
Predicting Brain Degeneration with a Multimodal Siamese Neural Network *. IPTA 2020: 1-6 - 2019
- [c9]Antoine Pirrone, Marie Beurton-Aimar, Nicholas Journet:
Papy-S-Net: A Siamese Network to match papyrus fragments. HIP@ICDAR 2019: 78-83 - 2018
- [c8]Huu Ton Le, Thierry Urruty, Marie Beurton-Aimar, Thi Phuong Nghiem, Hoang-Tung Tran, Romain Verset, Marie Ballère, Hien Phuong Lai, Muriel Visani:
Study of CNN Based Classification for Small Specific Datasets. ACIIDS (Extended Posters) 2018: 355-365 - [c7]Van Linh Le, Marie Beurton-Aimar, Akka Zemmari, Nicolas Parisey:
Landmarks Detection by Applying Deep Networks. MAPR 2018: 1-6 - [c6]Manh-Tu Vu, Marie Beurton-Aimar, Van Linh Le:
Heritage Image Classification by Convolution Neural Networks. MAPR 2018: 1-6 - 2010
- [c5]Marie Beurton-Aimar, Nicolas Parisey, François Vallée, Sophie Colombié:
Identification of Functional Hubs through Metabolic Networks. ALIFE 2010: 344-345 - 2009
- [c4]Marie Beurton-Aimar, Nicolas Parisey, François Vallée:
Multi-Agent Model for Simulation at the Subcellular Level. ECAL (1) 2009: 361-368 - 1999
- [c3]Marie Beurton-Aimar, Benoît Leblanc:
Designing medical knowledge-based system from patterns. CATA 1999: 218-221 - [c2]Marie Beurton-Aimar:
Medical KBS with Patterns. ECOOP Workshop for PhD Students in OO Systems 1999: 151-152 - [c1]Marie Beurton-Aimar:
Using Patterns into the Conception of a Medical KBS. ECOOP Workshops 1999: 374-375
Informal and Other Publications
- 2021
- [i5]Manh-Tu Vu, Marie Beurton-Aimar:
Multitask Multi-database Emotion Recognition. CoRR abs/2107.04127 (2021) - 2020
- [i4]Cecilia Ostertag, Marie Beurton-Aimar, Muriel Visani, Thierry Urruty, Karell Bertet:
Predicting Brain Degeneration with a Multimodal Siamese Neural Network. CoRR abs/2011.00840 (2020) - [i3]Cecilia Ostertag, Marie Beurton-Aimar:
Using Graph Neural Networks to Reconstruct Ancient Documents. CoRR abs/2011.07048 (2020) - 2019
- [i2]Cecilia Ostertag, Marie Beurton-Aimar, Thierry Urruty:
3DSiameseNet to Analyze Brain MRI. CoRR abs/1909.01098 (2019) - 2009
- [i1]Charles Lales, Nicolas Parisey, Jean-Pierre Mazat, Marie Beurton-Aimar:
Simulation of mitochondrial metabolism using multi-agents system. CoRR abs/0901.3910 (2009)
Coauthor Index
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